code: def convert_command_factory(args: Namespace):
      """
      Factory function used to convert a model PyTorch checkpoint in a TensorFlow 2 checkpoint.
  
      Returns: ServeCommand
      """
      return PTtoTFCommand(
          args.model_name,
          args.local_dir,
          args.max_error,
          args.new_weights,
          args.no_pr,
          args.push,
          args.extra_commit_description,
          args.override_model_class,
      )
  
file_path: transformers/src/transformers/commands/pt_to_tf.py
imports: import inspect
  import os
  from argparse import ArgumentParser, Namespace
  from importlib import import_module
  import huggingface_hub
  import numpy
  from packaging import version
  from ..None import FEATURE_EXTRACTOR_MAPPING, IMAGE_PROCESSOR_MAPPING, PROCESSOR_MAPPING, TOKENIZER_MAPPING, AutoConfig, AutoFeatureExtractor, AutoImageProcessor, AutoProcessor, AutoTokenizer, is_datasets_available, is_tf_available, is_torch_available
  from ..utils import TF2_WEIGHTS_INDEX_NAME, TF2_WEIGHTS_NAME, logging
  from .None import BaseTransformersCLICommand
label_desc: Use image node_id 1 for calling a global function with example usage: convert_command_factory(args) and returns: PTtoTFCommand